Adaptive coherence estimation reveals nonlinear processes in injured brain

Xuan Kong, Nitish Thakor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Severe injury to brain may be expected to produce a nonlinear response in evoked potentials (EP). Timely detection of such injury-related changes may help in diagnosing patient's status in critical care and surgical monitoring situations. Coherence function is used to measures the degree of linear association between the EP signals recorded during normal and abnormal experimental conditions. An adaptive coherence estimation algorithm is developed to estimate time-varying model parameters responsive to the brain injury. A linearity index is devised so as to obtain a single measure of the brain's departure from linearity. Analyses of somatosensory EP show a very sharp drop in the magnitude coherence estimates during hypoxic injury and a corresponding rapid decline in the linearity index at the very early stages of the hypoxic injury.

Original languageEnglish (US)
Title of host publicationPlenary, Special, Audio, Underwater Acoustics, VLSI, Neural Networks
PublisherPubl by IEEE
PagesI-87-I-90
ISBN (Print)0780309464
StatePublished - Jan 1 1993
Event1993 IEEE International Conference on Acoustics, Speech and Signal Processing - Minneapolis, MN, USA
Duration: Apr 27 1993Apr 30 1993

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume1
ISSN (Print)0736-7791

Other

Other1993 IEEE International Conference on Acoustics, Speech and Signal Processing
CityMinneapolis, MN, USA
Period4/27/934/30/93

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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